This session dives into the exciting world of Generative AI and empowers you to leverage its power with your own data. We'll explore how to build custom applications at scale, transforming your unique datasets into powerful tools. Whether you're a developer, data scientist, or simply curious about the future of AI, this session will equip you with the knowledge and tools to unlock the creative potential of your data through Gen-AI.

Your transactional database powers many applications – from Analytics to generative AI and interactive online systems. Explore how we harness the power of AI through LLMs to provide an AI-driven database assistant to manage your entire database estate. In addition, we will discuss a transformative approach on how to break down the barriers between analytic and operational systems

In this session, we will explore how BigQuery and Generative AI can transform your football club's coaching practices. We will use LLMs to generate clear summaries of player notes, highlighting strengths and weaknesses in personalized language. Additionally, we will employ embedding techniques and vector search to uncover team-level trends, all using BigQuery.

We are bringing Google's research and innovations in artificial intelligence (AI) directly to your data in BigQuery. Join this session to learn about BigQuery's built-in ML capabilities, such as model inferences, and how to use Gemini, Google's most capable and flexbile AI model yet, directly within BigQuery to simplify advanced use cases such as sentiment analysis, entity extraction, and many more.

This technical session delves into real-world use cases, and design patterns for building generative AI applications using Google Cloud Databases, and popular open-source orchestration frameworks such as LangChain.

Discover the cutting-edge of Google Cloud databases and analytics, designed to fuel the next generation of AI-powered applications. This spotlight session will unveil exciting product announcements, showcase insightful demos, and reveal real-world customer success stories. See how Google's Data Cloud empowers you to build transformative AI experiences that revolutionize how your business interacts with data.

In this technical presentation, we delve into the powerful capabilities of Aerospike, a cloud-first, AI-ready database. Aerospike is designed to efficiently handle massive data volumes with low latency, making it an ideal choice for mission critical real-time applications and AI workloads.

Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today's analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines, data types and even clouds